49 citations · 234 across the 18 of their papers we have counts for
43 papers · 1 filter
Beyond Monocular Deraining: Parallel Stereo Deraining Network Via Semantic Prior
Kaihao Zhang, Wenhan Luo, Yanjiang Yu +6
Rain is a common natural phenomenon. Taking images in the rain however often results in degraded quality of images, thus compromises the performance of many computer vision systems…
Relation-aware Instance Refinement for Weakly Supervised Visual Grounding
Yongfei Liu, Bo Wan, Lin Ma +1
Visual grounding, which aims to build a correspondence between visual objects and their language entities, plays a key role in cross-modal scene understanding. One promising and sc…
Dual Attention-in-Attention Model for Joint Rain Streak and Raindrop Removal
Kaihao Zhang, Dongxu Li, Wenhan Luo +1
Rain streaks and rain drops are two natural phenomena, which degrade image capture in different ways. Currently, most existing deep deraining networks take them as two distinct pro…
Liquid Warping GAN with Attention: A Unified Framework for Human Image Synthesis
Wen Liu, Zhixin Piao, Zhi Tu +3
We tackle human image synthesis, including human motion imitation, appearance transfer, and novel view synthesis, within a unified framework. It means that the model, once being tr…
Intrinsic Relationship Reasoning for Small Object Detection
Kui Fu, Jia Li, Lin Ma +2
The small objects in images and videos are usually not independent individuals. Instead, they more or less present some semantic and spatial layout relationships with each other. M…
Deblurring by Realistic Blurring
Kaihao Zhang, Wenhan Luo, Yiran Zhong +4
Existing deep learning methods for image deblurring typically train models using pairs of sharp images and their blurred counterparts. However, synthetically blurring images do not…